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Vetsyn: An R package for veterinary syndromic surveillance.

F C Dórea1, S Widgren1, A Lindberg1

  • 1Swedish Zoonosis Centre, Department of Disease Control and Epidemiology, National Veterinary Institute (SVA), SE-751 89 Uppsala, Sweden.

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Summary
This summary is machine-generated.

Developing veterinary syndromic surveillance (VSS) is challenging. The new R package, vetsyn, offers ready-to-use tools to automate VSS implementation, from data to epidemiological insights.

Keywords:
Animal healthR programmingSyndromic surveillance

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Area of Science:

  • Veterinary epidemiology
  • Public health informatics
  • Data science in animal health

Background:

  • Current veterinary syndromic surveillance (VSS) development faces challenges, including lack of standardized disease recording and appropriate statistical methods.
  • Few VSS systems demonstrate success beyond the development or exploratory data analysis phase.

Purpose of the Study:

  • To address challenges in statistical methods and tool development for VSS.
  • To provide ready-to-use R code for automating the conversion of classified animal health data into epidemiological information.
  • To facilitate the practical implementation of VSS systems for veterinary professionals.

Main Methods:

  • Development of an R package named 'vetsyn'.
  • The package integrates data classification, statistical analysis, and user interface functionalities.
  • Includes tutorials and is illustrated with real and simulated outbreak data.

Main Results:

  • The 'vetsyn' package automates the VSS implementation process.
  • It enables continuous management of data streams, analyses, alarms, and user interfaces.
  • Functions for daily and weekly data monitoring are available.

Conclusions:

  • The 'vetsyn' R package addresses key challenges in VSS implementation.
  • It provides a practical, automated solution for converting animal health data into actionable epidemiological information.
  • Expected to significantly facilitate the adoption and effectiveness of VSS systems globally.